This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Driveline Optimization for a Hybrid Electric City Vehicle to Minimize Fuel Consumption
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 01, 2014 by SAE International in United States
Annotation ability available
Nowadays gas emissions and fuel consumption are two of the major challenges for the automotive industry arisen from the ever-increasing relevance of environmental issues. Over the last few years, Hybrid Electric Vehicles (HEV) and Fuel Cell Vehicles have been developed as the most promising solutions that can address these challenges.
XAM (eXtreme Automotive Mobility) is a parallel hybrid electric vehicle for urban transportation developed at the Politecnico of Turin. Since 2011 it participated to the Shell Eco-marathon Europe, a competition for low consumption vehicles. In the race XAM runs within the Urban Concept category and is powered by bio-ethanol. XAM is a plug-in parallel hybrid where traction can be provided by internal combustion engine or by electric motor fed by supercapacitor.
A 1D simulation model of the vehicle and its subsystems has been created in AMESim in order to predict the behavior of the vehicle during the race. A great deal of attention was focused on the following areas: the vehicle dynamics, the electric motor management in traction or recharging conditions and finally to the transmission ratio that directly impacts the acceleration time, the cruise velocity, the recharging time and the rise of the state of charge of supercapacitor during the regenerative brake. This model has been parameterized and used for numerical optimization. In this latter context, by using the Optimus software, the optimal configuration of the model, that minimizes the fuel consumption, has been computed. Respecting the existing geometric constraints a parameterized interval of the transmission ratio of the vehicle and a gain of acceleration and regeneration torque have been defined for the optimization problem considered.
|Technical Paper||Hybrid Vehicles Performances Analysis: Feed-Forward Dynamic Approach|
|Technical Paper||Comparative Studies of Drivetrain Systems for Electric Vehicles|
CitationCarello, M., Bonansea, P., and D'Auria, M., "Driveline Optimization for a Hybrid Electric City Vehicle to Minimize Fuel Consumption," SAE Technical Paper 2014-01-1090, 2014, https://doi.org/10.4271/2014-01-1090.
- Shell Eco-marathon 2012 Official Rules Chapter I and The European rules 2012 2012
- Optimus Theoretical Background
- Noesis Solutions OPTIMUS February 2011
- Juvinall R.C. , Marshek K.M. Fundamentals of machine component design John Wiley & Sons Third 2003
- ISO 6336 1996 Calculation of load capacity of spur and helical gears . Part 2 - Calculation of surface durability (pitting) and Part 3 - Calculation of tooth bending strength
- Carello , M. , Filippo , N. , and d'Ippolito , R. Performance Optimization for the XAM Hybrid Electric Vehicle Prototype SAE Technical Paper 2012-01-0773 2012 10.4271/2012-01-0773
- Filippo , N. , Carello , M. , D'Auria , M. , and Marcello , A. Optimization of IDRApegasus: Fuel Cell Hydrogen Vehicle SAE Technical Paper 2013-01-0964 2013 10.4271/2013-01-0964
- Santin J.J. , Onder C.H. , Bernard J. , Isler D. , Kobler P. , Kolb F. , Weidmann N. e Guzzella L. The World's Most Fuel Efficient Vehicle. Design and Development of PACCar II VDF 2007
- d'Ippolito , R. , Stevens , J. , Pachidis , V. , Berta , A. , Goulos , I. , Rizzi , C. A Multidisciplinary Simulation Framework for Optimization of Rotorcraft Operations and Environmental Impact Proceedings of the 2nd International Conference on Engineering Optimization EngOpt10 September 6 - 9 2010 Lisbon, Portugal
- Lorenzen T.J. and Anderson V.L. Design of Experiments Marcel Dekker, Inc. New York, USA 1993
- Genta G. , Morello M. The Automotive Chassis Springer 2009
- Khuri A.I. and Cornell J.A. Response Surfaces, Design and Analysis Marcel Dekker, Inc. New York, USA 1996
- Santin J.J. , Onder C.H. , Bernard J. , Isler D. , Kobler P. , Kolb F. , Weidmann N. , Guzzella L. The world's most fuel efficient vehicle Vdf ETH Zurich/Singen 2007